NDLI: A High-Precision Approach of Traffic Anomaly Based on Fractal and Binary Symbolic

Content Provider	IEEE Xplore Digital Library
Author	Sun Meiyu Lv Xinjun
Copyright Year	2013
Description	Author affiliation: Coll. of Mech. & Electr. Eng., Shandong Manage. Univ., Jinan, China (Sun Meiyu; Lv Xinjun)
Abstract	In this paper it proposed a high-precision approach based on fractal and binary symbol which can be used into traffic anomaly. Dozens of high level representations of time series have been introduced for data mining in the literature. Traditional dimension reduction methods about traffic anomaly introduce the smoothness to data series in some degree that the important features of time series about non-linearity and fractal are destroyed. But they have a common question if they are used to be in the traffic area. That is the speed that carries on data mining too slowly. The traffic anomaly approach is unique in which it allows dimensionality reduction and it also preserved the fractal features. The experiments have been performed on synthetic, as well as traffic data sequences to evaluate the proposed method.
Starting Page	182
Ending Page	185
File Size	205260
Page Count	4
File Format	PDF
ISBN	9781479930128
DOI	10.1109/SKG.2013.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	symbolic representation distance Time series analysis nomaly data mining Educational institutions time series traffic time series Fractals Approximation methods Data mining Databases Euclidean distance
Content Type	Text
Resource Type	Article

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